adarshd

Stealth AI Startup | Open Source Software Engineer | Full-time | Remote (Global)

We're building one of the most widely adopted open-source libraries for evaluating LLM applications - used by teams at Google, Amazon, and Databricks. As an early engineer, you’ll work on core features, improve developer experience, and help shape the future of LLM tooling.

We’re looking for engineers with a strong track record in open-source & Python, especially in AI libraries. If you enjoy working on impactful tools and collaborating with a global developer community, we’d love to hear from you.

Compensation: Upto $180k + equity

To apply: Email adarsh@lexoga.com with your GitHub and the open-source libraries you contribute to or maintain.

Lexoga | Applied Research Engineer | Full Time | Remote (Global) | $60k - $180k USD

We’re hiring an Applied Research Engineer who thrives at the intersection of machine learning, research, and real-world deployment for a YC-backed & funded AI tooling startup. The company is building tooling to evaluate and align LLM-based systems, and your work will directly influence the next wave of developer-facing AI tools.

Indicators of great fit: 4+ years of experience in machine learning domain, experience/publications in LLM evaluation, contribution to OSS projects like OpenEvals, RAGChecker, or similar.

Details and application steps: https://lexoga.com/one/jobs/applied-research-engineer

This blog post series explores ACID properties in databases and touches upon the implementation side which is not usually covered anywhere.

Other posts in the series:

https://arpitbhayani.me/blogs/consistency/

https://arpitbhayani.me/blogs/isolation/

https://arpitbhayani.me/blogs/durability/ - Shortly explains how databases achieve durability